Key result
Routine measurement of Lipoprotein(a) is recommended to improve the accuracy of atherosclerotic cardiovascular disease risk prediction and target early risk-reducing therapies.
Why the study?
Lipoprotein(a) is a major and under-recognised independent risk factor for ASCVD and aortic valve stenosis with evolving recommendations for testing and management.
Routine measurement of Lp(a) improves ASCVD risk prediction and helps target intensive risk-reducing therapies, bridging the gap until specific Lp(a)-lowering drugs become available.
BACKGROUND: Lipoprotein(a) (Lp(a)) is an atherogenic, low-density lipoprotein (LDL)-like particle whose concentrations, mostly genetically determined, are elevated in about 20% of individuals. It is a major and under-recognised independent risk factor for atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis. OBJECTIVE: To review current evidence, international recommendations and future directions around testing and management of elevated Lp(a). DISCUSSION: Among other high-risk groups, measuring Lp(a) is recommended in people with ASCVD or aortic valve stenosis, especially if they are of young-onset, familial, unusually severe or progressive. Indeed, some international guidelines advocate measuring Lp(a) in all adults as part of cardiovascular risk assessment. While specific Lp(a)-lowering therapies are not yet available, risk-reducing measures for people with raised Lp(a) include addressing absolute ASCVD risk by diet and lifestyle measures, along with pharmacological LDL-cholesterol reduction. Aspirin might also have a role in primary prevention. Lp(a)-lowering therapies that act by preventing its formation are the subjects of ongoing clinical trials focused on cardiovascular outcomes, the first of which is expected to report in late 2026.
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Page et al. (2026) conducted a review in Elevated Lipoprotein(a) and Atherosclerotic Cardiovascular Disease. Lipoprotein(a) testing and risk-reducing management was evaluated. Routine measurement of Lipoprotein(a) is recommended to improve the accuracy of atherosclerotic cardiovascular disease risk prediction and target early risk-reducing therapies.
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